Quadruped Path Planner for Dynamic Environments
Implemented a global path planner for a quadruped robot moving in dynamic environments.
Implemented a global path planner for a quadruped robot moving in dynamic environments.
Developed a reinforcement learning agent using Proximal Policy Optimization (PPO) to play the pinball game Total Nuclear Annihilation.
Implemented MPPI on an RC car platform using C++ and ROS to enable aggressive driving.
Implemented Point-LIO from scratch to overcome the drawbacks of scan-based LiDAR processing.
Implemented various control techniques on a racecar simulation.
Designed a Floor Cleaning Robot that can adjust its size depending on need.
Performed Topology Optimization to reduce the material cost of a Prosthetic Arm.
This paper focuses on communications-aware behaviors that enable formations of robotic agents to travel through communications-deprived environments while remaining in contact with a central base station.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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